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1. 西南医科大学附属中医医院 心血管内科,泸州,646000
2. 西南医科大学附属中医医院 药剂科,泸州,646000
3. 澳门科技大学 中医药学院,澳门,999078
纸质出版日期:2022,
网络出版日期:2022-11-20,
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刘孟楠, 罗, 钢, 等. 新冠0号防治新冠肺炎的作用机制[J]. 西南医科大学学报, 2022,45(6):501-508.
Mechanism of Xinguan No.0 in the prevention and treatment of COVID-19[J]. Journal of Southwest Medical University, 2022,45(6):501-508.
刘孟楠, 罗, 钢, 等. 新冠0号防治新冠肺炎的作用机制[J]. 西南医科大学学报, 2022,45(6):501-508. DOI: 10.3969/j.issn.2096-3351.2022.06.008.
Mechanism of Xinguan No.0 in the prevention and treatment of COVID-19[J]. Journal of Southwest Medical University, 2022,45(6):501-508. DOI: 10.3969/j.issn.2096-3351.2022.06.008.
目的 通过网络药理学结合分子对接验证的方法探讨新冠0号防治新冠肺炎的作用机制。 方法 借助TCMSP数据库筛选新冠0号中所含中药的化学成分和作用靶点,通过Genecards数据库筛选新冠肺炎的预测靶点,将两者靶点进行映射,得到新冠0号防治新冠肺炎的关键靶点;通过UniProt数据库校正靶点对应的基因,进而运用Cytoscape 3.8.2构建新冠0号-化合物-新冠肺炎靶点网络,通过String数据库绘制蛋白质相互作用网络,通过DAVID数据库对关键靶点进行GO注释和KEGG通路富集分析。采用Auto Dock Vina将SARS-CoV-2作为核心受体与新冠0号筛选出的核心成分进行分子对接加以验证。 结果 新冠0号共筛选得到71个活性化合物,成分相关靶点249个,新冠肺炎相关靶点438个,药物-疾病的共同靶点58个。GO功能富集分析得到GO条目2 180个(P < 0.05),其中生物过程(BP)条目2 015个,细胞组成(CC)条目41个,分子功能(MF)条目124个。KEGG通路富集筛选得到166条信号通路(P < 0.05),涉及糖尿病并发症的年龄-年龄信号通路、人巨细胞病毒感染和神经退行性变途径-多种疾病通路及多种病毒、炎症相关通路有关。分子对接结果显示新冠0号中槲皮苷、木樨草素和依立酮等与新冠病毒靶点SARS-CoV-2结合能力较强,可能是新冠0号防治新冠肺炎的潜在活性成分。 结论 新冠0号中的活性化合物可通过与SARS-CoV-2结合作用多个靶点调节多条信号通路,起到防治新冠肺炎的作用。
Objective To explore the mechanism of Xinguan No.0 against COVID-19 by network pharmacology combined with molecular docking. Methods The chemical components and targets of TCM contained in Xinguan No.0 were screened by TCMSP database,and the predicted targets of COVID-19 were screened by Genecards database. The two of them were mapped to obtain the key targets of Xinguan No.0 for prevention and treatment of COVID-19. The genes corresponding to the target were corrected by Uniprot database,and Cytoscape 3.8.2 was used to construct the Xinguan No.0-compound-COVID-19 target network. The protein interaction network was mapped by String database,and GO annotation and KEGG pathway enrichment analysis of key targets were performed by David database. Auto Dock Vina was used to conduct molecular docking between SARS-CoV-2 as the core receptor and the core components screened by Xinguan No.0 for verification. Results A total of 71 active compounds,including 249 composition-related targets,438 COVID-19 related targets and 58 drug-disease common targets were screened by Xinguan No.0. A total of 2180 GO items (P < 0.05) were obtained by GO functional enrichment analysis,including 2015 biological process (BP) items,41 cell composition (CC) items and 124 molecular function (MF) items. KEGG pathway enrichment analysis obtained 166 signaling pathways (P < 0.05),which were related to AGE-RAGE signaling pathway in diabetic complications,human cytomegalovirus infection,neurodegenerative pathways-multiple disease pathways,and multiple viral and inflammation-related pathways. Molecular docking showed that quercitin,luteolin and iridone in Xinguan No.0 had strong binding ability to novel coronavirus target SARS-CoV-2,which might be the potential active components of Xinguan No.0 against COVID-19. Conclusion The active compounds in Xinguan No.0 could regulate multiple signaling pathways by binding with SARS-Cov-2 to multiple targets,thus played a role in preventing and treating COVID-19.
新冠0号新型冠状病毒肺炎网络药理学分子对接作用机制
Xinguan No.0COVID-19Network pharmacologyMolecular dockingMechanism
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